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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Am J Health Behav. 2014 Mar;38(2):180–189. doi: 10.5993/AJHB.38.2.3

Table 4. Binary Logistic Regression Indicating Factors Associated with Alternative Tobacco Product Use among Current Smokers.

Variable Model A Model B


OR CI p OR CI p
Smoking Status
 Never daily nondaily smoker Ref -- -- Ref -- --
 Former daily nondaily smoker 0.45 0.31, 0.65 <.001 0.47 0.31, 0.73 .001
 Daily smokers 0.31 0.22, 0.44 <.001 0.34 0.21, 0.54 <.001

Age 0.93 0.91, 0.96 <.001

Sex
 Male Ref -- --
 Female 0.29 0.21, 0.41 <.001

Ethnicity
 White Ref -- --
 Black 2.86 1.81, 4.54 <.001
 Other 1.29 0.81, 2.07 .29

Type of School
 4-year Ref -- --
 2-year 1.04 0.73, 1.50 .82

Number of Friends that Smoke 1.05 0.93, 1.18 .47

Live with a Smoker
 No Ref -- --
 Yes 1.08 0.77, 1.51 .66

Attitudes Toward Smoking 0.99 0.98, 0.99 .05

Classifying a Smoker Scale 1.01 1.00, 1.02 .13

PHQ-2: Depressive Symptoms
 No Ref -- --
 Yes 1.10 0.69, 1.77 .68

Sensation Seeking 1.12 0.94, 1.35 .21

Number of Days of Alcohol Use, past 30 days 1.00 0.98, 1.03 .96

Any Marijuana Use, Past 30 Days 1.78 1.24, 2.57 .002

Note. Model A: Nagelkerke R2 = 0.076; Model B: Nagelkerke R2 = 0.290